Microsoft AI-300 is a vendor-issued exam voucher for the Microsoft Certified: Azure AI Engineer Associate. You’ll receive a genuine exam credit that you redeem in the vendor or Pearson VUE scheduling flow to schedule the “Operationalizing Machine Learning and Generative AI Solutions” exam (AI-300).
What this exam voucher includes
- A unique Microsoft AI-300 exam voucher code (official exam credit)
- Voucher issuance after your payment is confirmed by ITExamDeals
- Country/region eligibility guidance for Latvia (based on vendor rules)
- Step-by-step redemption instructions for the scheduling portal
- Support via WhatsApp or Telegram for redemption questions
- Clear notes on voucher validity and rescheduling conditions
| Item | What you receive |
|---|---|
| Exam | Microsoft AI-300 |
| Voucher | Official vendor exam credit code |
| Redemption | Vendor/Pearson VUE scheduling portal |
| Currency | USD |
| Delivery | WhatsApp or Telegram |
Exam voucher price and what affects it
ITExamDeals lists this Microsoft AI-300 voucher at a discounted selling price of $38 USD (regular price $165 USD). The discounted price reflects ITExamDeals’ reseller pricing for eligible regions and fulfillment.
Voucher cost can vary based on several factors set by the vendor and/or by reseller program rules, such as:
- Vendor list price and regional pricing differences
- Discount eligibility for the selected country/region
- Voucher availability and inventory allocation
- Timing of purchase (vendor-controlled pricing and promo windows)
If you want, send your intended exam scheduling country (Latvia) in chat so we can confirm eligibility and redemption expectations before you complete payment.
Validity, expiry and rescheduling
Your voucher is backed by an official vendor exam credit, but the vendor controls the exact validity window and expiry rules. Once issued, the code cannot be “reissued” or extended by ITExamDeals.
Rescheduling is also governed by vendor/Pearson VUE scheduling policies and any vendor-specific rescheduling windows attached to the voucher credit. If you need to change your exam date, do it through the scheduling portal according to the instructions associated with your booking.
In practice, plan to:
- Book your exam date as soon as you’re ready
- Allow time for rescheduling in case your study plan changes
- Keep an eye on vendor validity and booking deadlines
How delivery and redemption work
- Choose Latvia as the target country for the voucher purchase.
- After you send the order reference on WhatsApp or Telegram, we confirm the voucher details and the price in chat.
- Pay the confirmed amount ($38 USD).
- Once payment is confirmed, we deliver the AI-300 voucher code via WhatsApp or Telegram.
- Redeem the code in the vendor or Pearson VUE exam scheduling portal to select and lock your exam date.
Redemption tips (so your booking goes smoothly)
- Have your Microsoft account/identity ready for the scheduling portal.
- Redeem the voucher credit before the expiry date.
- Use the same region/country context during booking that matches your voucher eligibility.
Exam format at a glance
Microsoft AI-300 measures operational skills for real-world AI solutions in Azure—especially productionization of machine learning and generative AI. The exam delivery is typically computer-based and scheduled through the vendor or Pearson VUE.
Because some operational details can vary by region and exam administration, review any final details in the scheduling portal; items marked check the vendor page are not guaranteed here.
- Exam code: AI-300
- Question types: likely a mix of scenario-based multiple choice, case studies, and task-oriented questions (check the vendor page)
- Duration: check the vendor page
- Passing score: check the vendor page
- Language: typically English (check the vendor page)
| Spec | Details |
|---|---|
| Exam code | AI-300 |
| Questions | check the vendor page |
| Duration | check the vendor page |
| Passing score | check the vendor page |
| Languages | check the vendor page |
| Delivery options | Pearson VUE / vendor scheduling |
Weighted domains (overview)
Domain weights can change by exam refresh. Use this as a planning guide only and confirm the latest breakdown in the official exam outline (check the vendor page for exact percentages).
- Implement and operationalize machine learning solutions: check the vendor page
- Implement responsible AI for generative AI solutions: check the vendor page
- Operationalize generative AI solutions: check the vendor page
- Monitor, troubleshoot, and optimize production AI: check the vendor page
Prerequisites and realistic study time
- Strong working knowledge of Azure fundamentals and AI/ML concepts is expected.
- Experience building and operationalizing ML workflows and working with generative AI is recommended.
- Realistic study time (for most candidates): 8–12 weeks with consistent practice (adjust based on your experience; check the vendor page for any formal requirements).
Recertification cycle
Microsoft certification maintenance cycles can vary by credential type and policy updates. Check the latest maintenance rules for the Microsoft Certified: Azure AI Engineer Associate certification (vendor-controlled).
Career value and job roles
This voucher is for candidates targeting production-focused Azure AI work. Passing AI-300 supports roles such as:
- Azure AI Engineer (associate level) who operationalizes ML and GenAI systems
- ML/AI developer moving from prototype to reliable production deployment
- Cloud solutions engineer focusing on Azure AI, monitoring, troubleshooting, and responsible AI practices
Seniorities that commonly pursue AI-300 include early-career to mid-level engineers with practical project experience—especially those who can translate AI prototypes into maintainable, measurable services.
Prepare before you book
Start by validating your coverage of the AI-300 skills, then practice with realistic scenarios. Use our hub here: free mock exams.
Passing a mock exam helps you measure readiness and can unlock extra voucher discounts through our practice-to-discount program. Build confidence before you redeem and schedule, so you can book a date you’ll actually keep.
Common mistakes to avoid
- Waiting too long to redeem: voucher validity is vendor-controlled, and expiry can block booking.
- Studying only theory: AI-300 emphasizes operationalization—monitoring, troubleshooting, and production patterns.
- Ignoring responsible AI and safety guardrails: GenAI operationalization includes risk-aware implementation.
- Not practicing scenario questions: scenario-based questions reward applied reasoning.
- Booking without timing buffer: rescheduling windows are set by the vendor and may have consequences for no-shows.
- Mixing up tools/workflows: ensure you can connect ML workflows and GenAI operational components end-to-end in Azure.